N
Nikos Mamoulis
Researcher at University of Ioannina
Publications - 294
Citations - 12127
Nikos Mamoulis is an academic researcher from University of Ioannina. The author has contributed to research in topics: Joins & Spatial query. The author has an hindex of 56, co-authored 282 publications receiving 11121 citations. Previous affiliations of Nikos Mamoulis include University of Hong Kong & Max Planck Society.
Papers
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Journal ArticleDOI
Reverse Nearest Neighbors Search in Ad Hoc Subspaces
Man Lung Yiu,Nikos Mamoulis +1 more
TL;DR: This paper studies an interesting generalization of the RNN query, where not all dimensions are considered, but only an ad hoc subset thereof, and develops appropriate algorithms for projected RNN queries, without relying on multidimensional indexes.
Book
Spatial Data Management
TL;DR: This book presents indexing approaches for spatial data, with a focus on the R-tree, and introduces spatial data models and queries and discusses the main issues of extending a database system to support spatial data.
Book ChapterDOI
Discovering Partial Periodic Patterns in Discrete Data Sequences
TL;DR: A new structure, the abbreviated list table (ALT), is proposed, and several efficient algorithms to compute the periods and the patterns, that require only a small number of passes are presented.
Journal ArticleDOI
Ranking Spatial Data by Quality Preferences
TL;DR: This paper formally defines spatial preference queries and proposes appropriate indexing techniques and search algorithms for them and reveals that an optimized branch-and-bound solution is efficient and robust with respect to different parameters.
Journal ArticleDOI
Earth mover's distance based similarity search at scale
TL;DR: This paper focuses on optimizing the refinement phase of EMD-based similarity search by adapting an efficient min-cost flow algorithm (SIA) for EMD computation, proposing a dynamic distance bound, and proposed a dynamic refinement order for the candidates which, paired with a concurrent EMD refinement strategy, reduces the amount of needless computations.